Pāriet uz saturu

Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This post proposes an A-share screen using RSI below 65, three consecutive down sessions, and a prior-day “main force control” condition. Its examples approximate the last condition with volume above a moving average and a rolling count of such events. The…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This post describes an A-share stock screen combining turnover between 3% and 12%, a K value below 20, and a current close above the previous session’s low. It presents the conditions as a way to identify stocks with potential for short-term gains, then…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This document outlines a Chinese A-share stock screen for main-board listings. It keeps stocks whose turnover is between 3% and 12%, whose circulating market value is between 5 billion and 10 billion yuan, and whose weekly MACD is above zero. The conditions…

Ķīnas tirgiAkcijasTehniskie indikatori
SuperMind

The document describes a Chinese equity screening idea that combines a large daily range, a prior-day opening auction price at the limit-down level, and a rising-bottom condition. Its final version adds a price-to-earnings threshold and volume above the…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed equity screen selects stocks with turnover between 3% and 12%, a listing year of 2021, and a dividend ratio above 25% for 2019. The article presents these as activity, company-age, and historical payout filters. It cautions that relying on a…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
SuperMind

This stock screening proposal ranks candidates by relative volume, which the source describes as a proxy for capital activity, and filters for turnover above 8% on the prior day. It also keeps stocks whose price change at 9:25 is below 6%, aiming to avoid…

AkcijasCenas impulssTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This article proposes a Chinese equity screen combining price movement and fundamental filters. Its initial conditions look for stocks with intraday amplitude above one, a positive weekly MACD bar, and a daily low roughly 4% to 5% below the prior low. The…

AkcijasCenas impulssAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This technical screen seeks stocks with a 14-period RSI below 65, three consecutive down sessions, and a daily high-low range above 1% of the previous close. The accompanying formula and sample code also add conditions for a price decline greater than 2% and…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese A-share screen combines membership in a metaverse sector with turnover above 8% on the prior day and a three-session limit-up pattern. The article presents the sequence as a way to focus on a hot theme and stocks attracting unusually strong…

AkcijasĶīnas tirgiCenas impulssTirgus noskaņojums
SuperMind

The screen selects Chinese shares with turnover between 3% and 12%, then requires the product of the daily price change and the net amount attributed to very large orders to be positive. It ranks qualifying stocks by opening auction value and keeps the top…

AkcijasĶīnas tirgiTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This Chinese equity screen combines a price-amplitude condition, the presence of an outstanding convertible bond, and a positive arc-shaped technical indicator. The accompanying formula also applies a market-capitalization threshold and filters out certain…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This document describes a Chinese stock screening rule combining daily price amplitude, a calendar-year condition, and a maximum number of circulating shares. It explains that the amplitude filter is intended to find more volatile stocks and that a smaller…

AkcijasSvārstīgumsĶīnas tirgiTehniskie indikatori
SuperMind

The document presents a short-term stock screen combining price amplitude, a rising moving-average condition, and a return measure multiplied by relative trading volume. It interprets larger amplitude as evidence of active price movement, rising averages as…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This report summary describes a stock-duration factor inspired by bond duration and constructed using company financial data and analyst consensus estimates. It reports that the factor’s cross-sectional behavior varies with market conditions and across…

AkcijasFaktoru ieguldīšanaStatistikaPortfeļa veidošana
SuperMind

The document describes a stock screen combining daily price range, exchange code, and circulating market value. It selects stocks whose codes begin with 60, whose high-to-low range exceeds 1% of the opening price, and whose circulating market value meets a…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The post raises a data-timing concern when using iWencai in quantitative research. Its author says that get_iwencai() does not introduce future data, while some uses of query_iwencai() may do so. The practical takeaway is to check whether a query relies only…

Vēsturisko datu pārbaudeAkcijasStatistika
SuperMind

This A-share screening proposal combines three conditions: market capitalization below 10 billion yuan, no reported losses, prior-day actual turnover between 3 and 28, and today’s position-addition share above 5%. The article interprets these as filters for…

AkcijasĶīnas tirgiFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This A-share stock screen combines three technical conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and a daily price range greater than 1. The note interprets the RSI threshold as avoiding an overbought reading, the…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

The note explains the low-lag trend line (LLT) as a timing indicator derived from signal processing. It frames moving averages as low-pass filters: they smooth short-term price fluctuations while retaining slower trend movement. LLT applies a second-order…

AkcijasTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
SuperMind

This Chinese equity screen combines three signals: daily trading range relative to closing price, a weekly five-period moving average above the ten-period average, and at least one large daily gain in the recent 25 trading days. The article presents the…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock screen targets Chinese A-share companies in the metaverse industry whose current average price is above the five-day moving average. It also excludes stocks listed in Beijing. The article gives equivalent screening concepts for a market formula…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This proposed Chinese equity screen selects stocks with turnover between 3% and 12%, at least one limit-up event during the preceding 25 days, and a previous close above its 250-day moving average. It combines a liquidity or activity range with a recent…

Ķīnas tirgiAkcijasCenas impulssCenas izrāviens
SuperMind

This Chinese-language post proposes screening mainland Chinese stocks using an RSI below 65, a daily gain above 1%, and a main-board listing. It adds a liquidity condition: yesterday’s turnover rate multiplied by today’s opening-auction volume divided by…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post presents a short-term stock screen using turnover, daily price change, auction return, trading volume, circulating market value, and large-order net flow. The main description calls for turnover between 3% and 12%, a negative…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra